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Financial ServicesAnalyticsArtificial Intelligence (AI)BankingBig DataBusiness IntelligenceCharityConsumer ResearchCreditData ManagementEnergyEnterprise SoftwareFinanceFinancial ServicesInformation ServicesInformation TechnologyKnowledge ManagementMarket ResearchMarketingNatural Language Processing9 open roles
Hiring at S&P Global
How is S&P Global hiring right now?
S&P Global has 9 open roles on Prepin, mostly in machine learning and software engineering; 3 posted in the last 30 days.
- Hiring for
- Machine learning (5), Software engineering (2), Full-stack engineering (1)
- Work model
- 67% hybrid · 33% on-site, from 9 roles that list it
- Typical posted pay
- $130K - $155K a year, from 5 roles that list pay
- Roles close in
- about 38 days (median of 8 roles closed in the last 6 months)
- Main locations
- Cambridge, Massachusetts, United States · Princeton, New Jersey, United States · Cambridge, England, United Kingdom
Skills S&P Global asks for most
PythonAWSData ExtractionGenerative AILLMsPyTorchAirflowDocker
Based on the newest 9 open roles Prepin tracks at S&P Global.
Opportunities
Which roles are open at S&P Global? 9
Machine Learning Operations Engineer I
Watertown, Massachusetts, United States
engineering
QA Engineer
Princeton, New Jersey, United States
engineering
Machine Learning Operations Engineer I
Cambridge, Massachusetts, United States
engineering
Senior Security Automation & SOAR Engineer
Princeton, New Jersey, United States
engineering
Machine Learning Engineer - Summer Intern 2027
Cambridge, Massachusetts, United States
engineering
Big Data Engineer Lead
New York, New York, United States
engineering
Machine Learning Engineer II
Cambridge, Massachusetts, United States
engineering
Machine Learning Engineer II
Cambridge, England, United Kingdom
engineering
Full-Stack Software Engineer II (JavaScript)
Cambridge, Massachusetts, United States
engineering
Make your next move
Prepare before applying to S&P Global
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Machine learning jobsCompare current openings and review what to look for in this role.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.